Partnership to screen for long QT syndrome launched

July 22, 2017

AliveCor, developer of personal ECG technology, has partnered with Mayo Clinic to develop tools to screen for long QT syndrome, according to a press release.

Through the partnership, Mayo Clinic will use its algorithms to update AliveCor’s Kardia Mobile device, a portable technology that can allow patients to scan for long QT syndrome without visiting a doctor’s office.

“AliveCor’s patented artificial intelligence technology, algorithms and millions of ECGs, paired with Mayo Clinic’s extensive data and world-leading clinical expertise will mean enhanced safety and decreased risk for many,” Vic Gundotra, CEO of AliveCor, said in the release. “The new technology could one day allow pharmacists, coaches and others to actively screen for and prevent sudden cardiac deaths.”

Long QT syndrome can increase risk for early death, yet can be treated with preventive or counteractive measures. This developing technology could help identify the syndrome early and therefore prevent deaths, according to the release.

Disclosure: Gundotra is an employee of AliveCor.

AliveCor, developer of personal ECG technology, has partnered with Mayo Clinic to develop tools to screen for long QT syndrome, according to a press release.

Through the partnership, Mayo Clinic will use its algorithms to update AliveCor’s Kardia Mobile device, a portable technology that can allow patients to scan for long QT syndrome without visiting a doctor’s office.

“AliveCor’s patented artificial intelligence technology, algorithms and millions of ECGs, paired with Mayo Clinic’s extensive data and world-leading clinical expertise will mean enhanced safety and decreased risk for many,” Vic Gundotra, CEO of AliveCor, said in the release. “The new technology could one day allow pharmacists, coaches and others to actively screen for and prevent sudden cardiac deaths.”

Long QT syndrome can increase risk for early death, yet can be treated with preventive or counteractive measures. This developing technology could help identify the syndrome early and therefore prevent deaths, according to the release.